Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • M.S., Georgia Institute of Technology 2018
  • Ph.D., Georgia Institute of Technology 2018
  • B.S., Simon Fraser University 2013
• Research
• 

  Selected Grants

  • Science-Integrated Predictive modeLing (SCINPL): a novel framework for scalable and interpretable predictive scientific computing awarded by  National Science Foundation 2022 - 2025
  • The X-SCAPE collaboration: The X+ion collision with a Statistically and Computationally Advanced Program Envelope collaboration awarded by Wayne State University 2020 - 2024
  • Meetings of New Researchers in Statistics and Probability awarded by  National Science Foundation 2020 - 2023
• Teaching & Mentoring
• 

  Recent Courses

  • STA 325L: Machine Learning and Data Mining 2022
  • STA 493: Research Independent Study 2022
  • STA 643: Modern Design of Experiments 2022
  • STA 701S: Readings in Statistical Science 2022
  • HOUSECS 59: House Course 2021
  • STA 325L: Machine Learning and Data Mining 2021
  • STA 360L: Bayesian Inference and Modern Statistical Methods 2021
  • STA 391: Independent Study 2021
  • STA 491: Independent Study 2021
  • STA 493: Research Independent Study 2021
  • STA 790-1: Special Topics in Statistics 2021
  • ECE 493: Projects in Electrical and Computer Engineering 2020
  • STA 325L: Machine Learning and Data Mining 2020
  • STA 360: Bayesian Inference and Modern Statistical Methods 2020
  • STA 493: Research Independent Study 2020

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